Machine Learning Techniques for Context-Aware Data Aggregation and Filtering in the Internet of Things
The rapid growth of IoT devices has generated huge volumes of heterogeneous data, which poses major challenges in terms of data aggregation, filtering, network performance and real-time decision making. This paper presents a framework based on machine learning for context-aware data aggregation and filtering in the IoT...